Instruction: Could you detect any possible entities from the given text and label them based on their types?

algorithm
conference
else
product
task
field
metrics
organization
researcher
program language
country
location
person
university

opinion-based recommender system

text mining

information retrieval

sentiment analysis

Multimodal sentiment analysis

deep learning

X.Y. Feng

H. Zhang

Y.J. Ren

P.H. Shang

Y. Zhu

Y.C. Liang

R.C. Guan

D. Xu

Popular approaches of opinion-based recommender system utilize various techniques including text mining , information retrieval , sentiment analysis ( see also Multimodal sentiment analysis ) and deep learning X.Y. Feng , H. Zhang , Y.J. Ren , P.H. Shang , Y. Zhu , Y.C. Liang , R.C. Guan , D. Xu , ( 2019 ) , , 21 ( 5 ) : e12957 .


Instruction: Can you identify any potential entities in the provided text and categorize them based on their types?

MIT

Marvin Minsky

Seymour Papert

Advocates of procedural representations were mainly centered at MIT , under the leadership of Marvin Minsky and Seymour Papert .


Instruction: Would you be able to detect any potential entities in the given text and categorize them based on their types?

Java

The standard interface and calculator interface are written in Java .


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Octave

MATLAB

Octave helps in solving linear and nonlinear problems numerically , and for performing other numerical experiments using a that is mostly compatible with MATLAB .


Instruction: Could you detect any possible entities from the given text and label them based on their types?

back-propagation algorithm

unsupervised methods

Geoff Hinton

University of Toronto

Variants of the back-propagation algorithm as well as unsupervised methods by Geoff Hinton and colleagues at the University of Toronto can be used to train deep , highly nonlinear neural architectures , { { cite journal


Instruction: From the given text, could you pinpoint any possible entities and determine their types?

DCG

or equivalently using DCG notation :


Instruction: From the provided text, could you detect any potential entities and classify them according to their respective types?

artificial neural networks

competitive learning

error-correction learning

backpropagation

gradient descent

topological properties

Self-organizing maps differ from other artificial neural networks as they apply competitive learning as opposed to error-correction learning such as backpropagation with gradient descent ) , and in the sense that they use a neighborhood function to preserve the topological properties of the input space .


Instruction: Please recognize any possible entities in the given text and determine their respective types.

Audio Engineering Society

audio signal

noise floor measurement

Since the early 1990s , it has been recommended by several authorities , including the Audio Engineering Society that measurements of dynamic range be made with an audio signal present , which is then filtered out in the noise floor measurement used in determining dynamic range . This avoids questionable measurements based on the use of blank media , or muting circuits .


Instruction: From the given text, could you pinpoint any possible entities and determine their types?

eigenfaces

face recognition

handwriting recognition

lip reading

voice recognition

sign language

hand gestures interpretation

medical imaging analysis

The technique used in creating eigenfaces and using them for recognition is also used outside of face recognition : handwriting recognition , lip reading , voice recognition , sign language / hand gestures interpretation and medical imaging analysis .


Instruction: From the provided text, could you detect any potential entities and classify them according to their respective types?

National Science Foundation

NASA

US Department of Energy

US Department of Commerce NIST

US Department of Defense

DARPA

Office of Naval Research

The National Science Foundation was an umbrella for the National Aeronautics and Space Administration ( NASA ) , the US Department of Energy , the US Department of Commerce NIST , the US Department of Defense , Defense Advanced Research Projects Agency ( DARPA ) , and the Office of Naval Research coordinated studies to inform strategic planners in their deliberations .


Instruction: Please identify any entities that could be present in the given text and classify them according to their types.

maximum likelihood

probit model

Ronald Fisher

Bliss

A fast method for computing maximum likelihood estimates for the probit model was proposed by Ronald Fisher as an appendix to Bliss ' work in 1935 .


Instruction: From the provided text, could you pinpoint any potential entities and label them based on their types?

Google Translate

SYSTRAN system

AltaVista

BabelFish

Yahoo

Babelfish

Several of these programs are available online , such as Google Translate and the SYSTRAN system that powers AltaVista 's BabelFish ( now Yahoo 's Babelfish as of 9 May 2008 ) .


Instruction: Can you detect any entities that may be present in the given text and classify them based on their types?

Hutter

Jürgen Schmidhuber

Shane Legg

artificial general intelligence

intelligent agents

reinforcement learning

In 2002 Hutter , with Jürgen Schmidhuber and Shane Legg , developed and published a mathematical theory of artificial general intelligence based on idealised intelligent agents and reward-motivated reinforcement learning .


Instruction: Would you be able to recognize any entities that might exist in the provided text and categorize them based on their types?

ROUGE

The most common way is using the so-called ROUGE ( Recall-Oriented Understudy for Gisting Evaluation ) measure .


Instruction: Would you be able to recognize any possible entities in the given text and determine their corresponding types?

RapidMiner

R

Python

David Norris

Bloor Research

RapidMiner provides learning schemes , models and algorithms and can be extended using R and Python scripts . David Norris , Bloor Research , November 13 , 2013 .


Instruction: Please identify any possible entities from the given text and determine their corresponding types.

tity

data analysis

predictive modeling

graphical user interfaces

Java

Weka 3

tity contains a collection of visualization tools and algorithms for data analysis and predictive modeling , together with graphical user interfaces for easy access to these functions. but the more recent fully Java -based version ( Weka 3 ) , for which development started in 1997 , is now used in many different application areas , in particular for educational purposes and research .


Instruction: Please identify any potential entities in the given text and categorize them according to their types.

Eurisko

Best Paper award

Eurisko made many interesting discoveries and enjoyed significant acclaim , with his paper Heuretics : Theoretical and Study of Heuristic Rules winning the Best Paper award at the 1982 Association for the Advancement of Artificial Intelligence .


Instruction: Can you detect any entities that could be present in the given text and categorize them based on their types?

Hinge loss

To allow for multiple entities , a separate Hinge loss is computed for each capsule .


Instruction: Could you recognize any possible entities from the provided text and determine their types?

Apple 's Siri

Amazon Alexa

Google Assistant

Microsoft Cortana

Samsung 's Bixby

Voice Portals

Far Field voice smart speakers

Amazon Echo

Google Home

With the emergence of conversational assistants such as Apple 's Siri , Amazon Alexa , Google Assistant , Microsoft Cortana , and Samsung 's Bixby , Voice Portals can now be accessed through mobile devices and Far Field voice smart speakers such as the Amazon Echo and Google Home .


Instruction: Can you pinpoint any entities that might exist in the provided text and label them based on their types?

supervised learning

Naive Bayes classifier

Support vector machine

mixtures of Gaussians

network

Examples of supervised learning are Naive Bayes classifier , Support vector machine , mixtures of Gaussians , and network .


Instruction: Would you be able to detect any potential entities in the given text and categorize them based on their types?

OSD algorithm

Support vector machine

classification

hinge loss

One can use the OSD algorithm to derive math O ( \ sqrt { T } ) / math regret bounds for the online version of Support vector machine for classification , which use the hinge loss math v _ t ( w ) = \ max \ { 0 , 1 - y _ t ( w \ cdot x _ t ) \ } / math


Instruction: Please recognize any possible entities in the given text and determine their respective types.

object recognition

robotic mapping

navigation

image stitching

3D modeling

gesture recognition

video tracking

individual identification of wildlife

match moving

Applications include object recognition , robotic mapping and navigation , image stitching , 3D modeling , gesture recognition , video tracking , individual identification of wildlife and match moving .


Instruction: Would you be able to identify any entities in the provided text and label them based on their respective types?

pose estimation

Brown University

Carnegie Mellon University

MPI Saarbruecken

Stanford University

University of California , San Diego

University of Toronto

École Centrale Paris

ETH Zurich

NUST

University of California , Irvine

A number of groups and companies are researching pose estimation , including groups at Brown University , Carnegie Mellon University , MPI Saarbruecken , Stanford University , the University of California , San Diego , the University of Toronto , the École Centrale Paris , ETH Zurich , National University of Sciences and Technology ( NUST ) , and the University of California , Irvine .


Instruction: Can you detect possible entities in the given text and categorize them based on their types?

Sigmoid function Cross entropy loss

Sigmoid function Cross entropy loss is used for predicting K independent probability values in math 0,1 / math .


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Johann Bernoulli Chair

Mathematics

Informatics

University of Groningen

Netherlands

Toshiba Endowed Chair

Tokyo Institute of Technology

Japan

Cambridge

He held the Johann Bernoulli Chair of Mathematics and Informatics at the University of Groningen in the Netherlands , and the Toshiba Endowed Chair at the Tokyo Institute of Technology in Japan before becoming Professor at Cambridge .


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recurrent neural network

long short-term memory

LSTM

Sepp Hochreiter

Jürgen Schmidhuber

Another technique particularly used for recurrent neural network s is the long short-term memory ( LSTM ) network of 1997 by Sepp Hochreiter & Jürgen Schmidhuber .


Instruction: From the provided text, could you identify any entities and determine their types?

C + +

CINT

Cling

MATLAB

The inclusion of a C + + interpreter ( CINT until version 5.34 , Cling from version 6 ) makes this package very versatile as it can be used in interactive , scripted and compiled modes in a manner similar to commercial products like MATLAB .


Instruction: Can you identify any potential entities in the provided text and categorize them based on their types?

Voice user interfaces

natural language processing

coreference resolution

named-entity recognition

information retrieval

dialog management

Voice user interfaces that interpret and manage conversational state are challenging to design due to the inherent difficulty of integrating complex natural language processing tasks like coreference resolution , named-entity recognition , information retrieval , and dialog management .


Instruction: Could you recognize any entities that may be present in the provided text and classify them according to their types?

recurrent neural network

deep feedforward neural network

Jürgen Schmidhuber

Swiss AI Lab IDSIA

pattern recognition

machine learning

Between 2009 and 2012 , the recurrent neural network s and deep feedforward neural network s developed in the research group of Jürgen Schmidhuber at the Swiss AI Lab IDSIA have won eight international competitions in pattern recognition and machine learning .


Instruction: Please identify any entities that might exist in the given text and classify them according to their respective types.

Windows desktop systems

SAPI 4

SAPI 5

speech synthesis

speech

Modern Windows desktop systems can use SAPI 4 and SAPI 5 components to support speech synthesis and speech .


Instruction: Could you recognize entities that might exist in the given text and classify them according to their types?

S. V. della laurea ad honorem

Psychology

University of Padua

Industrial Design and Engineering

Delft University of Technology

He received two honorary degree s , one S. V. della laurea ad honorem in Psychology from the University of Padua in 1995 and one doctorate in Industrial Design and Engineering from Delft University of Technology .


Instruction: Could you identify any entities that might exist in the given text and categorize them based on their respective types?

Laurent Cohen

Pitié-Salpêtrière Hospital

Paris

Dehaene

parietal lobe

inferior parietal lobule

intraparietal sulcus

With long-time collaborator Laurent Cohen , a neurologist at the Pitié-Salpêtrière Hospital in Paris , Dehaene also identified patients with lesions in different regions of the parietal lobe with impaired multiplication , but preserved subtraction ( associated with lesions of the inferior parietal lobule ) and others with impaired subtraction , but preserved multiplication ( associated with lesions to the intraparietal sulcus ) .


Instruction: Could you detect any possible entities from the given text and label them based on their types?

artificially intelligent robots

A.I. Artificial Intelligence

Ex Machina

Westworld

More recently , fictional representations of artificially intelligent robots in films such as A.I. Artificial Intelligence and Ex Machina and the 2016 TV adaptation of Westworld have engaged audience sympathy for the robots themselves .


Instruction: Can you detect any possible entities from the given text and determine their corresponding types?

unsupervised learning

principal component analysis

cluster analysis

Two of the main methods used in unsupervised learning are principal component analysis and cluster analysis .


Instruction: Can you detect any possible entities from the given text and classify them according to their types?

The Walt Disney Company

Magic Journeys

Captain EO

Francis Ford Coppola

Michael Jackson

The Walt Disney Company also began more prominent use of 3D films in special venues to impress audiences with Magic Journeys ( 1982 ) and Captain EO ( Francis Ford Coppola , 1986 , starring Michael Jackson ) being notable examples .


Instruction: Would you be able to recognize any entities that might exist in the provided text and categorize them based on their types?

natural language processing

part-of-speech tagging

syntactic parsing

Collins

Since 2002 , perceptron training has become popular in the field of natural language processing for such tasks as part-of-speech tagging and syntactic parsing ( Collins , 2002 ) .


Instruction: Could you detect any possible entities from the given text and label them based on their types?

palletizing robot

Fuji Yusoki Kogyo Company.

KUKA robotics

Germany

Victor Scheinman

Unimation

The first palletizing robot was introduced in 1963 by the Fuji Yusoki Kogyo Company. by KUKA robotics in Germany , and the Programmable Universal Machine for Assembly was invented by Victor Scheinman in 1976 , and the design was sold to Unimation .


Instruction: Can you detect possible entities in the given text and categorize them based on their types?

AAAI

Hayes

AI

Kenneth Ford

Simon Newcomb

AI

In the middle of the 1990s , while serving as president of the AAAI , Hayes began a series of attacks on critics of AI , mostly phrased in an ironic light , and ( together with his colleague Kenneth Ford ) invented an award named after Simon Newcomb to be given for the most ridiculous argument disproving the possibility of AI .


Instruction: Would you be able to recognize any possible entities in the given text and determine their corresponding types?

line search algorithm

line search

backtracking line search

Armijo-line search

An optimal value for math \ alpha / math can be found by using a line search algorithm , that is , the magnitude of math \ alpha / math is determined by finding the value that minimizes S , usually using a line search in the interval math0 \ alpha 1 / math or a backtracking line search such as Armijo-line search .


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Breadth-first search

Depth-first search

expert system

He discusses Breadth-first search and Depth-first search techniques , but eventually concludes that the results represent expert system s that incarnate a lot of technical knowledge but don 't shine much light on the mental processes that humans use to solve such puzzles .


Instruction: Would you be able to identify any entities in the provided text and label them based on their respective types?

Speech recognition

speech synthesis

Speech recognition and speech synthesis deal with how spoken language can be understood or created using computers .


Instruction: Can you detect any possible entities from the given text and classify them according to their types?

Maximum Likelihood

Maximum A Posteriori

MAP

This math \ theta ^ { * } / math is normally estimated using a Maximum Likelihood ( math \ theta ^ { * } = \ theta ^ { ML } / math ) or Maximum A Posteriori ( math \ theta ^ { * } = \ theta ^ { MAP } / math ) procedure .


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eSpeak synthesizer

Some less widely spoken languages use the open-source eSpeak synthesizer for their speech ; producing a robotic , awkward voice that may be difficult to understand .


Instruction: From the given text, can you pinpoint any entities and label them based on their types?

R

GNU Octave

MATLAB

Although used mainly by statisticians and other practitioners requiring an environment for statistical computation and software development , R can also operate as a general matrix calculation toolbox - with performance benchmarks comparable to GNU Octave or MATLAB .


Instruction: Can you detect any entities that may be present in the given text and classify them based on their types?

Heterodyning

signal processing

Canadian

Reginald Fessenden

Heterodyning is a signal processing technique invented by Canadian inventor-engineer Reginald Fessenden that creates new frequencies by combining mixing two frequencies .


Instruction: Please recognize any possible entities in the given text and determine their respective types.

John Wayne

Hondo

Warner Bros.

Columbia

Miss Sadie Thompson

Rita Hayworth

Paramount

Money From Home

Dean Martin

Jerry Lewis

Several other features that helped put 3D back on the map that month were the John Wayne feature Hondo ( distributed by Warner Bros. ) , Columbia 's Miss Sadie Thompson with Rita Hayworth , and Paramount 's Money From Home with Dean Martin and Jerry Lewis .


Instruction: Please identify any entities that could be present in the given text and classify them according to their types.

DeepFace

deep learning

facial recognition

Facebook

DeepFace is a deep learning facial recognition system created by a research group at Facebook .


Instruction: Please recognize any entities that might exist in the given text and classify them according to their respective types.

Geometry processing

SIGGRAPH

computer graphics

Symposium on Geometry Processing

Geometry processing is a common research topic at SIGGRAPH , the premier computer graphics academic conference , and the main topic of the annual Symposium on Geometry Processing .


Instruction: Please recognize any possible entities in the given text and categorize them based on their types.

Feature extraction

dimension reduction

Principal Component Analysis

PCA

linear discriminant analysis

LDA

canonical correlation analysis

CCA

pre-processing

k -NN

Feature extraction and dimension reduction can be combined in one step using Principal Component Analysis ( PCA ) , linear discriminant analysis ( LDA ) , or canonical correlation analysis ( CCA ) techniques as a pre-processing step , followed by clustering by k -NN on feature vectors in reduced-dimension space .


Instruction: Could you identify any entities that might exist in the given text and categorize them based on their respective types?

Artificial neural networks

machine learning

pattern recognition

Artificial neural networks are computational models that excel at machine learning and pattern recognition .


Instruction: Can you detect possible entities in the given text and categorize them based on their types?

C. Papageorgiou

T. Poggio

Trainable Pedestrian Detection system

IJCV

histogram of oriented gradients

N. Dalal

B. Triggs

Histograms of oriented gradients

human detection

CVPR

, C. Papageorgiou and T. Poggio , A Trainable Pedestrian Detection system , International Journal of Computer Vision ( IJCV ) , pages 1 : 15-33 , 2000 others uses local features like histogram of oriented gradients N. Dalal , B. Triggs , Histograms of oriented gradients for human detection , IEEE Computer Society Conference on Computer Vision and Pattern Recognition ( CVPR ) , pages 1 : 886-893 , 2005 descriptors .


Instruction: From the given text, could you identify any entities and determine their respective types?

autoencoder

artificial neural network

Feature learning

unsupervised learning

An autoencoder is a type of artificial neural network used to learn Feature learning in an unsupervised learning manner .


Instruction: Would you be able to recognize any possible entities in the given text and determine their corresponding types?

Haralick

IEEE

computer vision

image processing

IAPR

pattern recognition

image processing

IAPR

Haralick is a Fellow of IEEE for his contributions in computer vision and image processing and a Fellow of the International Association for Pattern Recognition ( IAPR ) for his contributions in pattern recognition , image processing , and for service to IAPR .


Instruction: Please identify any possible entities in the given text and label them based on their types.

end-to-end ASR

Connectionist Temporal Classification

CTC

Alex Graves

Google DeepMind

Navdeep Jaitly

University of Toronto

The first attempt at end-to-end ASR was with Connectionist Temporal Classification ( CTC ) -based systems introduced by Alex Graves of Google DeepMind and Navdeep Jaitly of the University of Toronto in 2014 .


Instruction: Can you detect any possible entities from the given text and determine their corresponding types?

Linear-fractional programming

LFP

linear programming

LP

Linear-fractional programming ( LFP ) is a generalization of linear programming ( LP ) .


Instruction: Please identify any potential entities in the given text and determine their corresponding types.

Lafferty

Test-of-Time awards

Lafferty received numerous awards , including two Test-of-Time awards at the International Conference on Machine Learning 2011 & 2012 ,


Instruction: Would you be able to recognize any entities that may be present in the provided text and label them based on their types?

.NET

Java

neural network

With the advent of component-based frameworks such as .NET and Java , component based development environments are capable of deploying the developed neural network to these frameworks as inheritable components .


Instruction: Can you identify any entities that could be present in the provided text and classify them according to their types?

BLEU

As with BLEU , the basic unit of evaluation is the sentence , the algorithm first creates an alignment ( see illustrations ) between two sentence s , the candidate translation string , and the reference translation string .


Instruction: Would you be able to recognize any entities that may be present in the provided text and label them based on their types?

summarization

translation tasks

ROUGE metric

Neural Information Processing Systems

NIPS

Montreal

Canada

One of the metrics used in NIST ' s annual Document Understanding Conferences , in which research groups submit their systems for both summarization and translation tasks , is the ROUGE metric ( Recall-Oriented Understudy for Gisting Evaluation , In Advances of Neural Information Processing Systems ( NIPS ) , Montreal , Canada , December - 2014 .


Instruction: Would you be able to detect any potential entities in the given text and categorize them based on their types?

Java

JShell

Java 9

codejshell

Same implementation , to run in Java with JShell ( Java 9 minimum ) : codejshell scriptfile / codesyntaxhighlight lang = java


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NIST metric

BLEU metric

The NIST metric is based on the BLEU metric , but with some alterations .


Instruction: From the given text, can you pinpoint any entities and label them based on their types?

Netherlands

University of Groningen

University of Twente

Knowledge Graphs

semantic networks

In the late 1980s , two Netherlands universities , University of Groningen and University of Twente , jointly began a project called Knowledge Graphs , which are semantic networks but with the added constraint that edges are restricted to be from a limited set of possible relations , to facilitate algebras on the graph .


Instruction: From the provided text, could you identify any entities and classify them based on their respective types?

Grammar checkers

word processor

Grammar checkers are most often implemented as a feature of a larger program , such as a word processor , but are also available as a stand-alone application that can be activated from within programs that work with editable text .


Instruction: Could you identify any entities that might exist in the given text and categorize them based on their respective types?

Cognitive Science Society

J. Automated Reasoning

J. Learning Sciences

J. Applied Ontology

He is a Fellow of the American Association for the Advancement of Science , Association for the Advancement Artificial Intelligence , and Cognitive Science Society , and an editor of the J. Automated Reasoning , J. Learning Sciences , and J. Applied Ontology .


Instruction: Can you identify any entities that could be present in the provided text and classify them according to their types?

Linear predictive coding

LPC

speech coding

Fumitada Itakura

Nagoya University

Shuzo Saito

Nippon Telegraph and Telephone

NTT

Linear predictive coding ( LPC ) , a form of speech coding , began development with the work Fumitada Itakura of Nagoya University and Shuzo Saito of Nippon Telegraph and Telephone ( NTT ) in 1966 .


Instruction: Please identify any possible entities in the given text and label them based on their types.

mean square error

If the signal is further ergodic , all sample paths exhibits the same time-average and thus mathR _ x ^ { n / T _ 0 } ( \ tau ) = \ widehat { R } _ x ^ { n / T _ 0 } ( \ tau ) / math in mean square error sense .


Instruction: From the given text, could you identify any entities and determine their respective types?

Feature extraction

dimension reduction

principal component analysis

PCA

linear discriminant analysis

LDA

canonical correlation analysis

CCA

non-negative matrix factorization

NMF

pre-processing step

K-NN

feature vectors

Feature extraction and dimension reduction can be combined in one step using principal component analysis ( PCA ) , linear discriminant analysis ( LDA ) , canonical correlation analysis ( CCA ) , or non-negative matrix factorization ( NMF ) techniques as a pre-processing step followed by clustering by K-NN on feature vectors in reduced-dimension space .


Instruction: Can you identify any entities that could be present in the provided text and classify them according to their types?

Perl

Java

ActiveX

.NET

MATLAB

Libraries written in Perl , Java , ActiveX or .NET can be directly called from MATLAB ,


Instruction: Would you be able to recognize any entities that may be present in the provided text and label them based on their types?

recognizing named entities in text

Named Entity Recognition

Entity Linking

The task of recognizing named entities in text is Named Entity Recognition while the task of determining the identity of the named entities mentioned in text is called Entity Linking .


Instruction: Please identify any possible entities from the given text and determine their corresponding types.

sigmoid function

R

sigmoid

The sigmoid function s and derivatives used in the package were originally included in the package , from version 0.8.0 onwards , these were released in a separate R package sigmoid , with the intention to enable more general use .


Instruction: Please identify any possible entities in the given text and label them based on their types.

Logo

Bolt , Beranek and Newman

BBN

Cambridge

Massachusetts

Wally Feurzeig

Cynthia Solomon

Seymour Papert

Logo was created in 1967 at Bolt , Beranek and Newman ( BBN ) , a Cambridge , Massachusetts research firm , by Wally Feurzeig , Cynthia Solomon , and Seymour Papert .


Instruction: From the given text, could you pinpoint any possible entities and determine their types?

Neuroevolution

reinforcement learning

deep learning

gradient descent

neural network

Neuroevolution is commonly used as part of the reinforcement learning paradigm , and it can be contrasted with conventional deep learning techniques that use gradient descent on a neural network with a fixed topology .


Instruction: Please identify any possible entities in the given text and label them based on their types.

least squares

mean squared error

MSE

If we use least squares to fit a function in the form of a hyperplane ŷ = a + β supT / sup x to the data ( x sub i / sub , y sub i / sub ) sub 1 ≤ i ≤ n / sub , we could then assess the fit using the mean squared error ( MSE ) .


Instruction: Can you detect any possible entities from the given text and classify them according to their types?

Australia

Brazil

Canada

China

Germany

India

Italy

Japan

Korea

Lithuania

Poland

Malaysia

Philippines

Russia

Singapore

South Africa

Spain

Taiwan

Thailand

Turkey

United Kingdom

The company has international locations in Australia , Brazil , Canada , China , Germany , India , Italy , Japan , Korea , Lithuania , Poland , Malaysia , the Philippines , Russia , Singapore , South Africa , Spain , Taiwan , Thailand , Turkey and the United Kingdom .


Instruction: Please identify any entities that could be present in the given text and classify them according to their types.

D.Sc. degree

electrical and computer engineering

Inria

University of Nice Sophia Antipolis

Siemens Corporate Technology

École des ponts ParisTech

Rutgers University

Yale University

University of Houston

He holds a D.Sc. degree in electrical and computer engineering ( 2000 ) from Inria and the University of Nice Sophia Antipolis , and has held permanent positions at Siemens Corporate Technology , École des ponts ParisTech as well as visiting positions at Rutgers University , Yale University and University of Houston .


Instruction: Would you be able to recognize any entities that may be present in the provided text and label them based on their types?

George Devol

Engelberger

industrial robot

United States

Unimate

Licensing the original patent awarded to inventor George Devol , Engelberger developed the first industrial robot in the United States , the Unimate , in the 1950s .


Instruction: Please identify any entities in the provided text and classify them based on their types.

speech recognition

speech synthesis

The input is called speech recognition and the output is called speech synthesis .


Instruction: From the given text, could you identify any entities and determine their respective types?

CLIPS

Jess

CLIPS

Java

JESS

Descendants of the CLIPS language include Jess ( rule-based portion of CLIPS rewritten in Java , it later grew up in different direction ) , JESS was originally inspired


Instruction: Can you detect any entities that could be present in the given text and categorize them based on their types?

AGV

Motivity control system

RMT Robotics

ADAM iAGV

gantry systems

industrial robot arms

non-linear layouts

It also created flexible intelligent AGV applications , designing the Motivity control system used by RMT Robotics to develop its ADAM iAGV ( Self-Guided Vehicle ) , used for complex pick and place operations , in conjunction with gantry systems and industrial robot arms , used in first-tier auto supply factories to move products from process to process in non-linear layouts .


Instruction: Please recognize any entities that might exist in the given text and classify them according to their respective types.

maximum likelihood

The parameters β are typically estimated by maximum likelihood .


Instruction: Can you identify any entities that could be present in the provided text and classify them according to their types?

information retrieval

precision

recall

DCG

The information retrieval metrics such as precision and recall or DCG are useful to assess the quality of a recommendation method .


Instruction: Could you detect any possible entities from the given text and label them based on their types?

industrial robot

A typical factory contains hundreds of industrial robot s working on fully automated production lines , with one robot for every ten human workers .


Instruction: Can you detect any possible entities from the given text and determine their corresponding types?

PCNNs

image processing

image segmentation

feature generation

face extraction

motion detection

region growing

noise reduction

Over the past decade , PCNNs have been used in a variety of image processing applications , including : image segmentation , feature generation , face extraction , motion detection , region growing , and noise reduction .


Instruction: Please recognize any possible entities in the given text and categorize them based on their types.

Xu

computer vision

Best Paper Award

NPAR

Best Reviewer Award

ACCV 2012

ICCV

Xu has published more than 50 papers at international conferences and in journals in the field of computer vision and won the Best Paper Award at the international conference on Non-Photorealistic Rendering and Animation ( NPAR ) 2012 and the Best Reviewer Award at the international conferences Asian Conference on Computer Vision ACCV 2012 and International Conference on Computer Vision ( ICCV ) 2015 .


Instruction: Could you recognize entities that might exist in the given text and classify them according to their types?

CycL

computer science

artificial intelligence

ontology language

Doug Lenat

Cyc artificial project

CycL in computer science and artificial intelligence is an ontology language used by Doug Lenat 's Cyc artificial project .


Instruction: Can you detect any entities that could be present in the given text and categorize them based on their types?

regression analysis

mean squared error

mean squared prediction error

out-of-sample mean squared error

squared deviations

Also in regression analysis , mean squared error , often referred to as mean squared prediction error or out-of-sample mean squared error , can refer to the mean value of the squared deviations of the predictions from the TRUE values , over an out-of-sample test space , generated by a model estimated over a particular sample space .


Instruction: Please identify any potential entities in the given text and categorize them according to their types.

C-HOG

R-HOG

C-HOG descriptors

FALSE positive rate

As for the results , the C-HOG and R-HOG block descriptors perform comparably , with the C-HOG descriptors maintaining a slight advantage in the detection miss rate at fixed FALSE positive rate s across both data sets .


Instruction: Please identify any entities in the given text and determine their corresponding types.

principal component analysis

eigenface

linear discriminant analysis

Elastic matching

Fisherface algorithm

hidden Markov model

multilinear subspace learning

tensor representation

dynamic link matching

Popular recognition algorithms include principal component analysis using eigenface s , linear discriminant analysis , Elastic matching using the Fisherface algorithm , the hidden Markov model , the multilinear subspace learning using tensor representation , and the neuronal motivated dynamic link matching .


Instruction: Would you be able to recognize any possible entities in the given text and determine their types?

Scotiabank Theatre Toronto

TIFF Bell Lightbox

Netflix

Beginning at the 2019 Toronto International Film Festival , films may now be restricted from screening at Scotiabank Theatre Toronto - one of the festival 's main venues - and screened elsewhere ( such as TIFF Bell Lightbox and other local cinemas ) if distributed by a service such as Netflix .


Instruction: Can you pinpoint any potential entities in the given text and label them based on their respective types?

Unimation

Victor Scheinman

Vicarm Inc.

Scheinman

Scheinman

VAL programming language

Unimation purchased Victor Scheinman ' s Vicarm Inc. in 1977 , and with Scheinman 's help , the company created and began producing the Programmable Universal Machine for Assembly , a new model of robotic arm , and using Scheinman 's cutting-edge VAL programming language .


Instruction: From the provided text, could you identify any entities and classify them based on their respective types?

Java

C4.5 algorithm

Weka data mining tool

J48 is an open source Java implementation of the C4.5 algorithm in the Weka data mining tool .


Instruction: From the provided text, could you detect any potential entities and classify them according to their respective types?

SSIM

Google Scholar

The 2004 SSIM paper has been cited over 20,000 times according to Google Scholar , It also received the IEEE Signal Processing Society Sustained Impact Award for 2016 , indicative of a paper having an unusually high impact for at least 10 years following its publication .


Instruction: Can you pinpoint any entities that might exist in the provided text and label them based on their types?

speech synthesis

Adobe Voco

Adobe Creative Suite

DeepMind

WaveNet

Google

The speech synthesis is verging on being completely indistinguishable from a real human 's voice with the 2016 introduction of the voice editing and generation software Adobe Voco , a prototype slated to be a part of the Adobe Creative Suite and DeepMind WaveNet , a prototype from Google .


Instruction: From the provided text, could you identify any entities and determine their types?

Poggio

Neuroscience Research Program

American Academy of Arts and Sciences

AAAI

McGovern Institute for Brain Research

Poggio is an honorary member of the Neuroscience Research Program , a member of the American Academy of Arts and Sciences and a founding fellow of AAAI and a founding member of the McGovern Institute for Brain Research .


Instruction: Can you identify any potential entities in the provided text and categorize them based on their types?

speech recognition

speech synthesis

speech translation

German

Verbmobil project

During the 1990s , encouraged by successes in speech recognition and speech synthesis , research began into speech translation with the development of the German Verbmobil project .


Instruction: Could you recognize any possible entities from the provided text and determine their types?

Felix Gers

Jürgen Schmidhuber

Fred Cummins

forget gate

keep gate

LSTM

In 1999 , Felix Gers and his advisor Jürgen Schmidhuber and Fred Cummins introduced the forget gate ( also called keep gate ) into LSTM architecture ,


Instruction: Could you recognize entities that might exist in the given text and classify them according to their types?

digital signal processing

information theory

normalized sinc function

In digital signal processing and information theory , the normalized sinc function is commonly defined for by


Instruction: Would you be able to recognize any possible entities in the given text and determine their types?

computational linguistics

David Hays

ICCL

The term computational linguistics itself was first coined by David Hays , a founding member of both the Association for Computational Linguistics and the International Committee on Computational Linguistics ( ICCL ) .


Instruction: Can you detect any possible entities from the given text and determine their corresponding types?

one dimensional polynomial-based memory

DPD

mean squared error

MSE

59 , pp. 2547-2553 , Oct. 2011 In one dimensional polynomial-based memory ( or memoryless ) DPD , in order to solve for the digital pre-distorter polynomials coefficients and minimize the mean squared error ( MSE ) , the distorted output of the nonlinear system must be over-sampled at a rate that enables the capture of the nonlinear products of the order of the digital pre-distorter .


Instruction: Please identify possible entities from the given text and determine their types.

Boris Katz

Chișinău

Moldavian SSR

Soviet Union

Chișinău

Moldova

Massachusetts Institute of Technology

Cambridge

InfoLab Group

Boris Katz , ( born October 5 , 1947 , Chișinău , Moldavian SSR , Soviet Union , ( now Chișinău , Moldova ) ) is a principal American research scientist ( computer scientist ) at the MIT Computer Science and Artificial Intelligence Laboratory at the Massachusetts Institute of Technology in Cambridge and head of the Laboratory 's InfoLab Group .